Statistics for Data Science with
R
About this course
Acknowledgements
Basic Statistics
Descriptive Statistics
Distributions
Inferential Statistics
Linear Models
Introduction
t-test, ANOVA
Regression
Complex Linear Models
Some Theory on LM
Generalized Linear Models
Introduction
Binomial
Poisson
Gamma
Some Theory on GLM
Other GLM
Introduction
Multinomial Logistic
Ordered Logit Model
Negative Binomial Model
Some Theory on other GLM
Other Models
Neural networks,GAM, ...
Appendices
Diagnostics
AIC
Sum of Squares
Fixed Effects
Nested ANOVA
Acknowledgements
This web book is the result of work of my colleagues:
Enrico Pegoraro, who wrote all previous versions of this book
Veronica Giro, who reviewed and reassembled all these materials.